The Application of MATLAB Neural Network Algorithm in Short-Term Hydrological Forecasting
Yongbin Xiang, Chuan Liang, Yuan Lin, Yufeng Liang · 2012
This paper first introduces the features of the MATLAB neural network toolboxes and their algorithm, discusses and constructs the river flow forecasting model and its steps by using the MATLAB neural network algorithm, and then uses it for short-term hydrologic forecasting between Shigu to Panzhihua in the Jinsha River of the Yangtze River upstream basin. According to the results of the case study, we see that short-term hydrologic forecasting can easily be done by using the MATLAB neural network toolboxes, in the case of that the allowable error is 10%, the qualify rate of prediction reaches 100%, so the method of the short-term hydrological forecasting based on the MATLAB neural network is certainly practical, and it is also a new mean of the hydrological forecasting.